La Red Nacional de Metadatos (RNM) es la herramienta implementada por el INEGI, como plataforma de difusión y consulta de los metadatos de los proyectos de información estadística básica; constituye un sistema de catalogación que permite a los usuarios realizar búsquedas y consultas generales sobre las operaciones estadísticas o específicas a nivel de variable de los proyectos estadísticos que han sido documentados de manera exhaustiva en la Iniciativa de Documentación de Datos (DDI, por sus siglas en inglés).
Valor | Categoría | Casos | |
---|---|---|---|
1 | 1336 |
3%
|
|
2 | 1164 |
2.6%
|
|
3 | 526 |
1.2%
|
|
4 | 1362 |
3%
|
|
5 | 1690 |
3.7%
|
|
6 | 768 |
1.7%
|
|
7 | 1332 |
2.9%
|
|
8 | 492 |
1.1%
|
|
9 | 348 |
0.8%
|
|
10 | 1058 |
2.3%
|
|
11 | 302 |
0.7%
|
|
12 | 440 |
1%
|
|
13 | 790 |
1.7%
|
|
14 | 842 |
1.9%
|
|
15 | 542 |
1.2%
|
|
16 | 1256 |
2.8%
|
|
17 | 1432 |
3.2%
|
|
18 | 428 |
0.9%
|
|
19 | 764 |
1.7%
|
|
20 | 1122 |
2.5%
|
|
21 | 202 |
0.4%
|
|
22 | 386 |
0.9%
|
|
23 | 246 |
0.5%
|
|
24 | 488 |
1.1%
|
|
25 | 372 |
0.8%
|
|
26 | 644 |
1.4%
|
|
27 | 428 |
0.9%
|
|
28 | 1050 |
2.3%
|
|
29 | 434 |
1%
|
|
30 | 712 |
1.6%
|
|
31 | 416 |
0.9%
|
|
32 | 502 |
1.1%
|
|
33 | 1578 |
3.5%
|
|
34 | 130 |
0.3%
|
|
35 | 446 |
1%
|
|
36 | 68 |
0.2%
|
|
37 | 696 |
1.5%
|
|
38 | 202 |
0.4%
|
|
39 | 1802 |
4%
|
|
40 | 114 |
0.3%
|
|
41 | 202 |
0.4%
|
|
42 | 158 |
0.3%
|
|
43 | 184 |
0.4%
|
|
44 | 224 |
0.5%
|
|
45 | 116 |
0.3%
|
|
46 | 168 |
0.4%
|
|
47 | 128 |
0.3%
|
|
48 | 390 |
0.9%
|
|
49 | 18 |
0%
|
|
50 | 546 |
1.2%
|
|
51 | 70 |
0.2%
|
|
52 | 64 |
0.1%
|
|
53 | 430 |
1%
|
|
54 | 110 |
0.2%
|
|
55 | 144 |
0.3%
|
|
56 | 116 |
0.3%
|
|
57 | 420 |
0.9%
|
|
58 | 448 |
1%
|
|
59 | 158 |
0.3%
|
|
60 | 80 |
0.2%
|
|
61 | 132 |
0.3%
|
|
62 | 8 |
0%
|
|
63 | 94 |
0.2%
|
|
64 | 28 |
0.1%
|
|
65 | 30 |
0.1%
|
|
66 | 234 |
0.5%
|
|
67 | 390 |
0.9%
|
|
68 | 48 |
0.1%
|
|
69 | 58 |
0.1%
|
|
70 | 306 |
0.7%
|
|
71 | 104 |
0.2%
|
|
72 | 28 |
0.1%
|
|
73 | 86 |
0.2%
|
|
74 | 120 |
0.3%
|
|
75 | 96 |
0.2%
|
|
76 | 108 |
0.2%
|
|
77 | 98 |
0.2%
|
|
78 | 464 |
1%
|
|
79 | 26 |
0.1%
|
|
80 | 8 |
0%
|
|
81 | 154 |
0.3%
|
|
82 | 92 |
0.2%
|
|
83 | 72 |
0.2%
|
|
84 | 34 |
0.1%
|
|
85 | 98 |
0.2%
|
|
86 | 8 |
0%
|
|
87 | 302 |
0.7%
|
|
88 | 78 |
0.2%
|
|
89 | 334 |
0.7%
|
|
90 | 26 |
0.1%
|
|
91 | 22 |
0%
|
|
92 | 18 |
0%
|
|
93 | 134 |
0.3%
|
|
94 | 70 |
0.2%
|
|
95 | 4 |
0%
|
|
96 | 50 |
0.1%
|
|
97 | 194 |
0.4%
|
|
98 | 92 |
0.2%
|
|
99 | 296 |
0.7%
|
|
100 | 4 |
0%
|
|
101 | 592 |
1.3%
|
|
102 | 334 |
0.7%
|
|
103 | 6 |
0%
|
|
104 | 390 |
0.9%
|
|
105 | 2 |
0%
|
|
106 | 1486 |
3.3%
|
|
107 | 18 |
0%
|
|
108 | 190 |
0.4%
|
|
109 | 172 |
0.4%
|
|
110 | 66 |
0.1%
|
|
111 | 2 |
0%
|
|
112 | 42 |
0.1%
|
|
113 | 6 |
0%
|
|
114 | 996 |
2.2%
|
|
115 | 36 |
0.1%
|
|
116 | 28 |
0.1%
|
|
117 | 2 |
0%
|
|
118 | 174 |
0.4%
|
|
119 | 48 |
0.1%
|
|
120 | 284 |
0.6%
|
|
121 | 84 |
0.2%
|
|
122 | 162 |
0.4%
|
|
123 | 20 |
0%
|
|
124 | 100 |
0.2%
|
|
125 | 4 |
0%
|
|
127 | 2 |
0%
|
|
128 | 34 |
0.1%
|
|
129 | 2 |
0%
|
|
130 | 8 |
0%
|
|
131 | 124 |
0.3%
|
|
132 | 94 |
0.2%
|
|
134 | 2 |
0%
|
|
137 | 2 |
0%
|
|
138 | 112 |
0.2%
|
|
140 | 20 |
0%
|
|
141 | 40 |
0.1%
|
|
142 | 30 |
0.1%
|
|
143 | 22 |
0%
|
|
144 | 2 |
0%
|
|
145 | 4 |
0%
|
|
149 | 4 |
0%
|
|
153 | 6 |
0%
|
|
154 | 98 |
0.2%
|
|
155 | 34 |
0.1%
|
|
156 | 344 |
0.8%
|
|
157 | 2 |
0%
|
|
158 | 6 |
0%
|
|
159 | 4 |
0%
|
|
160 | 10 |
0%
|
|
164 | 60 |
0.1%
|
|
169 | 16 |
0%
|
|
172 | 8 |
0%
|
|
173 | 8 |
0%
|
|
174 | 116 |
0.3%
|
|
175 | 12 |
0%
|
|
177 | 20 |
0%
|
|
178 | 4 |
0%
|
|
183 | 16 |
0%
|
|
184 | 18 |
0%
|
|
186 | 78 |
0.2%
|
|
188 | 2 |
0%
|
|
189 | 40 |
0.1%
|
|
192 | 2 |
0%
|
|
193 | 258 |
0.6%
|
|
194 | 10 |
0%
|
|
195 | 8 |
0%
|
|
197 | 78 |
0.2%
|
|
199 | 8 |
0%
|
|
201 | 46 |
0.1%
|
|
202 | 2 |
0%
|
|
203 | 4 |
0%
|
|
204 | 6 |
0%
|
|
205 | 2 |
0%
|
|
206 | 2 |
0%
|
|
207 | 112 |
0.2%
|
|
208 | 88 |
0.2%
|
|
209 | 4 |
0%
|
|
210 | 2 |
0%
|
|
211 | 6 |
0%
|
|
212 | 4 |
0%
|
|
217 | 14 |
0%
|
|
275 | 2 |
0%
|
|
277 | 4 |
0%
|
|
295 | 10 |
0%
|
|
302 | 2 |
0%
|
|
318 | 16 |
0%
|
|
324 | 24 |
0.1%
|
|
326 | 2 |
0%
|
|
364 | 2 |
0%
|
|
372 | 2 |
0%
|
|
385 | 4 |
0%
|
|
386 | 2 |
0%
|
|
390 | 16 |
0%
|
|
397 | 38 |
0.1%
|
|
401 | 2 |
0%
|
|
413 | 16 |
0%
|
|
437 | 2 |
0%
|
|
465 | 2 |
0%
|
|
467 | 4 |
0%
|
|
469 | 40 |
0.1%
|
|
475 | 2 |
0%
|
|
482 | 18 |
0%
|
|
484 | 4 |
0%
|
|
490 | 2 |
0%
|
|
494 | 2 |
0%
|
|
499 | 2 |
0%
|
|
502 | 4 |
0%
|
|
515 | 4 |
0%
|
|
516 | 14 |
0%
|
|
526 | 8 |
0%
|
|
545 | 2 |
0%
|
|
551 | 58 |
0.1%
|
|
553 | 2 |
0%
|
|
559 | 2 |
0%
|
|
570 | 8 |
0%
|
|
999 | 16 | ||
Sysmiss | 1 |
var_concept.title |
---|
Municipio |
Ocurrencia |
Expulsión |
Extracción |